Triple

T2822236
Position Surface form Disambiguated ID Type / Status
Subject Abbottabad E54836 entity
Predicate locatedNear P294 FINISHED
Object Kakul
Kakul is a village near Abbottabad in Pakistan, best known for hosting the Pakistan Military Academy, the country’s premier officer training institution.
 E300986 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kakul | Statement: [Abbottabad, locatedNear, Kakul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kakul
Context triple: [Abbottabad, locatedNear, Kakul]
  • A. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • B. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Kunjara
    Kunjara is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kakul
Triple: [Abbottabad, locatedNear, Kakul]
Generated description
Kakul is a village near Abbottabad in Pakistan, best known for hosting the Pakistan Military Academy, the country’s premier officer training institution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kakul
Target entity description: Kakul is a village near Abbottabad in Pakistan, best known for hosting the Pakistan Military Academy, the country’s premier officer training institution.
  • A. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • B. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Kunjara
    Kunjara is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaa45e88190a9007885cf7868ef completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf138c00819087913972df96f5ad completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf8d0318819088f9abd895f8ba0a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.